At the University of Padua, I completed academic research training focused on environmental control systems, including modeling methods, control strategies, and performance evaluation.
For a neonatal incubator project, I implemented and tested a DDPG reinforcement learning controller for temperature and humidity regulation using an existing Simulink model, then compared its performance with PI control. I also implemented Branch-and-Bound and SIVIA algorithms in Python for autonomous vehicle fleet distance control.
